ArticleNature communications2026
Integrative epigenetics and transcriptomics identify aging genes in human blood.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The trial behind it
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Who cites it
11 citing papers in PubMed.
- Exploring a targeted epigenetic clock based on mortality-associated CpGs as a potential biomarker for frailty.Clinical epigenetics · 2026Article
- Liver- and Immune-Enriched Molecular Signatures Associated With Mortality in Older Adults.Aging cell · 2026Article
- An open competition for biomarkers of aging.Nature aging · 2026Article
- Review
- Sex-specific nonlinear DNA methylation aging trajectories reveal biomarkers of cancer risk and inflammation.Genome biology · 2026Article
- Pan-Epigenetic Age Prediction in Mammals.Aging cell · 2026Article
- Biological Age, Aging Clocks, and the Interplay with Lymphoid Neoplasms: Mechanisms and Clinical Frontiers.Lymphatics · 2025Article
- Invigorating discovery and clinical translation of aging biomarkers.Nature aging · 2025Article
- What makes biological age epigenetic clocks tick.Nature aging · 2025Article
- Depletion of loss-of-function germline mutations in centenarians reveals longevity genes.Nature communications · 2024Article
- High-dimensional Ageome Representations of Biological Aging across Functional Modules.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
19 authors.
Funding
Abstract
Recent epigenome-wide studies have identified a large number of genomic regions that consistently exhibit changes in their methylation status with aging across diverse populations, but the functional consequences of these changes are largely unknown. On the other hand, transcriptomic changes are more easily interpreted than epigenetic alterations, but previously identified age-related gene expression changes have shown limited replicability across populations. Here, we develop an approach that leverages high-resolution multi-omic data for an integrative analysis of epigenetic and transcriptomic age-related changes and identify genomic regions associated with both epigenetic and transcriptomic age-dependent changes in blood. Our results show that these multi-omic aging genes in blood are enriched for adaptive immune functions, replicate more robustly across diverse populations and are more strongly associated with aging-related outcomes compared to the genes identified using epigenetic or transcriptomic data alone. These multi-omic aging genes may serve as targets for epigenetic editing to facilitate cellular rejuvenation.
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Registered trials
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